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Job Title:

Data Operation Engineer

Company: Colate

Location: Bangalore, Karnataka

Created: 2026-03-31

Job Type: Full Time

Job Description:

Position: Data Operation Engineer (India) | 5+ Years Location - Bangalore, Chennai, Gurgaon (India)Job responsibilities• Operate, monitor and optimise cloud-native data platforms on GCP (BigQuery, Dataflow, CloudSQL, Spanner, Pub/Sub, Cloud Composer, GKE) and equivalent services on AWS and Azure.• Design, build and maintain ETL/ELT pipelines, streaming and batch processing workflows using modern data tools and frameworks.• Apply SRE principles to ensure platform reliability; implement CI/CD pipelines, infrastructure-as-code and operational automation to achieve consistent, repeatable deployments.• Drive data literacy across the organisation by applying data and analytics to decision- making and fostering a data-driven culture.• Champion innovation by challenging existing processes, evaluating new technologies and inspiring teams to embrace diverse viewpoints and continuous improvement.• Define and manage monitoring, alerting and incident response processes to maintain platform health and SLA compliance.Skills required• Bachelor's or master’s degree in computer science, Engineering or a related discipline with 5+ years of relevant industry experience.• Advanced hands-on experience with major cloud platforms (Azure, AWS, GCP), including cloud-native data services, orchestration, monitoring and automation.• Proven experience delivering GCP-based data platforms using BigQuery, Dataflow, CloudSQL, Spanner, Pub/Sub, Cloud Composer and GKE. Proficiency in modern data tools for building, operating and optimising ETL/ELT, streaming and batch pipelines.• Strong understanding of SRE principles, CI/CD, infrastructure-as-code and operational automation. Ability to translate data and analytics into insights that drive effective decision-making. Growth mindset with a track record of innovating, adopting new technologies and inspiring collaborative teams.Connect with usEmail your resume ;

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